Index Catalog // Arch : Northwestern University Institutional Repository

Description:: For stochastic simulation optimization in a modern computing era, we introduce a new parallel framework for solving very large-scale problems using a ranking & selection (R&S) approach that simulates all systems or feasible solutions to provide a global statistical guarantee. We propose a parallel adaptive survivor selection (PASS) framework that...
Keyword:: master-worker, simulation, parallel, stochastic, large-scale, and optimization
Subject:: Applied mathematics, Statistics, and Operations research
Creator:: Pei, Linda
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 06/22/2022
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_903888 and http://dissertations.umi.com/northwestern:16108

Description:: Polymer nanocomposites have attracted great interest in recent years because of their potential as tailored materials with enhanced properties. Recent experiments have shown that polymer nanocomposites are able to achieve significant improvement in dielectrical, thermal, mechanical and other physical properties compared with their parent polymer systems. More importantly, these outstanding...
Keyword:: polymer nanocomposite, simulation, machine learning, optimization, database, and data mining
Subject:: Mechanical engineering
Creator:: Wang, Yixing
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Created:: 2019-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_685582 and http://dissertations.umi.com/northwestern:14811

Description:: Even though a number of techniques have been developed for motion generation and perception, few of them focus on the computational efficiency and theoretical guarantees at the same time. Typically, improved guarantees come with increased complexity, making theoretically guaranteed methods challenging use in real-time applications. Thus, existing methods usually have...
Keyword:: variational integrator, pose graph optimization, optimization, human pose and shape estimation, and SLAM
Subject:: Mathematics and Robotics
Creator:: Fan, Taosha
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 06/22/2022
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_879523 and http://dissertations.umi.com/northwestern:15937

Description:: Providing quality transit service to travelers is a constant challenge for transit agencies. The advent of fully-autonomous vehicles (AVs) and their inclusion in mobility service fleets may allow transit agencies to offer better service or reduce their own capital and operational costs. This study focuses on the problem of allocating...
Keyword:: public transit, autonomous vehicles, optimization, network modeling, and shared mobility
Subject:: Transportation, Civil engineering, and Urban planning
Creator:: Pinto, Helen
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 04/15/2021
Date Created:: 2021-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_796818 and http://dissertations.umi.com/northwestern:15474

Description:: In this dissertation, we study models and methods to address uncertainties that can vary in optimization problems. Robust optimization is a popular approach for optimization under uncertainty, especially if limited information is available about the distribution of the uncertainty. It models the uncertainty through sets and finds a robust optimal...
Keyword:: variable uncertainty, optimization, decision dependent uncertainty, and robust optimization
Subject:: Industrial engineering and Operations research
Creator:: Sharma, Kartikey
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 04/29/2020
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_718511 and http://dissertations.umi.com/northwestern:14998

Description:: Originally motivated by the emergence of networked systems lacking central coordination such as multiprocessors, wireless sensor networks and smart grids, the study of distributed optimization algorithms has been an active field of research spanning multiple decades. More recently, the rapid growth in the availability of high-dimensional datasets has posed the...
Keyword:: multi-agent systems, optimization, and distributed optimization
Subject:: Electrical engineering and Applied mathematics
Creator:: Iakovidou, Charikleia
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 09/22/2022
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:16228 and etdadmin_upload_927521

Description:: The goal of this thesis is to design practical algorithms for nonlinear optimization in the case when the objective function is stochastic or nonsmooth. The thesis is divided into three chapters. Chapter 1 describes an active-set method for the minimization of an objective function that is structurally nonsmooth, viz., it...
Keyword:: machine learning, optimization, deep learning, Newton, nonsmooth, and quasi-Newton
Subject:: Industrial Engineering and Management Sciences
Creator:: Nitish Shirish Keskar
Owner:: Scholarly Digital Publishing
Date Uploaded:: 04/16/2018
Date Modified:: 04/16/2018
Date Created:: 2017-01-01
Resource Type:: Dissertation

Description:: Both individual and institutional investors face a number of constraints in their consumption and investment decisions. We look at well-motivated constraints on the consumption process as well as liquidity constraints and study their impact on optimal consumption and investment policies under a dynamic discrete time setting.
Keyword:: investment, optimization, liquidity, portfolio, consumption, and non-decreasing
Subject:: Industrial Engineering and Management Sciences
Creator:: Amit Vijay Bhandari
Owner:: Scholarly Digital Publishing
Date Uploaded:: 09/07/2018
Date Modified:: 09/07/2018
Date Created:: 2008-05-06
Resource Type:: Dissertation

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